Everything you need to know about working with Quantora Analytics.

We offer: Generative AI development (LLM products, copilots, RAG), Voice AI Agents (calling automation, QA systems), Agentic AI workflows (LangGraph, CrewAI), MLOps & LLMOps infrastructure, Data Engineering platforms, Computer Vision systems, and Machine Learning solutions (fraud detection, forecasting, churn prediction).

We work with OpenAI (GPT-4o), Anthropic (Claude 3.5), Meta (Llama 3), Google (Gemini), Mistral, and custom Hugging Face models. For orchestration: LangGraph, LangChain, CrewAI, LlamaIndex. For vector stores: Pinecone, Milvus, Weaviate, pgvector. For cloud: AWS, Azure, GCP.

Yes. For clients with strict data privacy requirements, we deploy fully on-premise or in a private VPC. We use locally-hosted models (Llama 3, Mistral, custom fine-tuned) with Ollama or vLLM serving, ensuring no data leaves your infrastructure.

FinTech & Banking, Healthcare & BioPharma, E-Commerce & Retail, Manufacturing, Logistics & Supply Chain, Legal & Compliance, and general enterprise technology companies. We also work with startups building AI-first products.

Our 5-phase process: (1) Discovery & Data Audit — align on KPIs, assess data, map architecture. (2) Architecture Design — system design, model selection, API contracts. (3) Prototype & Validate — working POC with real data. (4) Build & Deploy — production engineering with CI/CD and monitoring. (5) Knowledge Transfer — documentation, training, handover.

POC/proof-of-concept: 2–3 weeks. Production MVP: 6–10 weeks. Full enterprise deployment: 3–6 months. We use 2-week sprints with demo checkpoints so you see working software throughout the engagement, not just at the end.

Yes. All projects include 30 days of post-deployment support. Extended support retainers (3, 6, 12 months) are available and include model monitoring, drift alerts, updates, and a dedicated Slack channel with <24h response SLA.

Three models: (1) Fixed-scope projects for well-defined deliverables — agreed price, no surprises. (2) Dedicated team model — a committed team working full-time on your product (monthly billing). (3) Retainer — advisory, support, and ongoing improvements on a monthly basis. Book a free consultation for a custom quote.

Clients own all code, models, data, and intellectual property we produce during an engagement. We provide a full IP assignment as part of every project contract. We do not retain rights to your data or trained models.

Yes, we sign NDAs before any project discovery discussion. Client confidentiality is a priority — we never disclose client names, data, or project details without explicit written consent.

We offer 3-month, 6-month, and 1-year programs. All include: real project work (not toy projects), weekly mentorship sessions with Shashank Pandey, structured curriculum covering Python, ML, Generative AI, LLMs, Voice AI, and MLOps, project completion certificate, and letter of recommendation.

Students and recent graduates interested in AI/ML, data science, or software engineering. Basic Python knowledge is required. Curiosity about AI and willingness to learn fast are more important than existing expertise. We welcome applicants from all engineering disciplines.

Stipend availability varies by program and duration. Please contact us or check the internship page for current program details and compensation structure.